In this paper, we study the formalism of unsupervised multi-class domain adaptation (multi-class UDA), which underlies a few recent algorithms whose learning objectives are only motivated empirically.

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This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

This article first analyzes the basic theories and methods of data mining, data mining classifiers, multi-classifier fusion, and lays a foundation for the study of classification algorithms based on ...

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A film looking at different ways of classifying and grouping plants. Suitable for Key Stage 1, Key Stage 2, Early and 1st Level and 2nd level and Foundation level.

Class-agnostic Object Detection performance of MViTs in comparison with bottom-up approaches and uni-modal detectors on five natural image OD datasets. MViTs show consistently good results on all ...

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python machine-learning text-classification rest-api flask-application classification glam code4lib connexion annotation-tool multilabel-classification subject-indexing annif Updated 3 days ago Python ...